PDF Text Extractor
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PDF Text Extractor
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PDF Text Extractor allows you to extract text from PDF files. It also supports chunking of the text to prepare the data for usage with large language models.
Memory input with API
Open
Am I able to increase the memory when running actor via api or is this input fixed? I tried adding a memory pair-key to the json and it didn't seem to make the change/
Hello, yes, you can easily set it by adding memory_mbytes in Python or memoryMbytes in JS/TS to the method call. If you're still unable to make it work, please provide the code you're using. Thank you
authentic_nightfall
I'm using a native integration with clay.com which I think primarily handles the authentication piece. The following the JSON I have for the input. What would be the syntax for adding the memory input
{ "chunkSize": 1000, "performChunking": false, "urls": [ "redacted" ] }
Hello, the memory options are different from the actual input. Is it possible to set something else than input in clay.com integration?
Also you can just go to https://console.apify.com/actors/QbKEOrw6PkLcy4Xms/settings and change memory for the Actor globally.
authentic_nightfall
First, I appreciate your prompt help on this. At this point I dont have a way of using something other than Clay. I did set it to 8mb from 2mb yesterday but I am not seeing that reflected.
authentic_nightfall
Hi yes, I checked and I only at present have the ability to select the actor, and provide an input. If there is any other way to increase the memory in a no code/low code fashion please let me know. Appreciate your help.
Hey, thanks for the info. I will pass this issue to the developers of the Clay integration. If you want to explore other options of integrating Apify with no code platforms, I can suggest Make integration or Zapier integration
Jiří MoravčíkActor Metrics
33 monthly users
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18 stars
>99% runs succeeded
2.4 days response time
Created in Oct 2023
Modified 3 months ago
